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; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high-performance computing
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communication; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high
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, who leads the Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake
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Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake detection, and
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and multisensory XR at the intersection of acoustics, signal processing, XR, and human perception. You will develop and evaluate physics-based and data-driven audio rendering methods within the
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and fluorescence imaging (vibratome, cryostat, microtome, antibody staining) Engineering (CAD/3d printing, microcontrollers, signal processing) What you bring: A Ph.D. in neuroscience, bioengineering
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, multimodal learning, time-series analysis, signal processing, foundation models, digital biomarkers, or agentic AI. Strong programming and data-analysis skills, particularly in Python and modern